Dekang Lin

41 papers and 3.7k indexed citations i.

About

Dekang Lin is a scholar working on Artificial Intelligence, Information Systems and Language and Linguistics. According to data from OpenAlex, Dekang Lin has authored 41 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Language and Linguistics. Recurrent topics in Dekang Lin’s work include Natural Language Processing Techniques (35 papers), Topic Modeling (33 papers) and Speech and dialogue systems (12 papers). Dekang Lin is often cited by papers focused on Natural Language Processing Techniques (35 papers), Topic Modeling (33 papers) and Speech and dialogue systems (12 papers). Dekang Lin collaborates with scholars based in Canada, United States and China. Dekang Lin's co-authors include Patrick Pantel, Shaojun Zhao, Ming Zhou, Shane Bergsma, Randy Goebel, Dale Schuurmans, Heng Ji, Emily Pitler, Marius Paşca and Benjamin Van Durme and has published in prestigious journals such as Lecture notes in computer science, Computational Linguistics and Information Processing Letters.

In The Last Decade

Co-authorship network of co-authors of Dekang Lin i

Fields of papers citing papers by Dekang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dekang Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dekang Lin. The network helps show where Dekang Lin may publish in the future.

Countries citing papers authored by Dekang Lin

Since Specialization
Citations

This map shows the geographic impact of Dekang Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dekang Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dekang Lin more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2025